You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Introdução à Microscopia de Fluorescência e Análise de Imagem
  4. Introduction to Fluorescence Microscopy

Introduction to Fluorescence Microscopy

Code 16818
Year 1
Semester L0
ECTS Credits 1
Workload O (20H)/T(8H)
Scientific area Biomedicina
Entry requirements Bachelor's degree or legal equivalent
Learning outcomes On completion of the course, the student is expected to: - Be familiar with the various basic and advanced fluorescence microscopy techniques used in biomedical research; - Have acquired the basics of image analysis methods such as digitization, image enhancement, segmentation and feature classification; - Know how to select the appropriate image acquisition mode for the intended purpose; - Perform manual and automatic measurements using image analysis tools; - Perform object tracking; - Analyze histological tissues; - Understand the applications and limitations of each technique; - Know and apply the fundamental notions of ethics in image analysis.
Syllabus Introduction to Fluorescence Microscopy Optical Sectioning Live Cell Imaging Super-Resolution Microscopy Introduction to ZEN Microscopy Software Introduction to Image Analysis Introduction to FIJI Software (Is Just ImageJ) Hands-On FIJI (Fluorescence Intensity Analysis, Colocalization) Introduction to Macro Development Introduction to Imaris Software Hands-On Imaris (Object Tracking) Introduction to Deconvolution Introduction to QuPath Software Hands-On QuPath (Histological Tissue Analysis)
Main Bibliography - Fluorescence Microscopy: From Principles to Biological Applications, 2nd Edition. Ulrich Kubitscheck (Editor) ISBN: 978-3-527-33837-5 June 2017 Wiley-Blackwell - Bioimage Data Analysis, Edited by Kota Miura, Wiley-VCH. ePDF ISBN: 978-3-527-80092-6 - Quantitative Imaging in Cell Biology, Methods in Cell Biology, Volume 123 (2014). Editors Jennifer C. Waters & Torsten Wittmann
Language Portuguese. Tutorial support is available in English.
Last updated on: 2025-07-17

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.